Analyst III, Data Science – Remote Sensing

American Forest Foundation

. Design, execute, validate, and document advanced statistical, geospatial, and remote sensing analyses .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $85,000 - $94,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced statistical modeling, geospatial analysis, and remote sensing, with a strong proficiency in R and Python for developing reproducible analytical workflows. Capable of effectively communicating complex results to diverse audiences and collaborating across multidisciplinary teams.

Highest-signal resume keywords

Advanced Statistical ModelingGeospatial AnalysisR ProgrammingMachine Learning EvaluationGIS Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive AnalyticsUncertainty QuantificationData ScienceAnalytical Workflow DevelopmentRemote Sensing AnalysisLarge Dataset IntegrationCloud-Based Analytical EnvironmentsPython ProgrammingSpatial Analysis

Soft Skills

Technical WritingCommunication SkillsCollaborationProject Management

Tools & Technologies

GIS ToolsAWSAzureGoogle Earth Engine

Industry Keywords

Environmental ScienceNatural ResourcesForestryClimateConservation

Tech Stack

Tools & technologies

AWSAzureCloudPythonRemote Sensing

About the role

Key responsibilities & impact

Design, execute, validate, and document advanced statistical, geospatial, and remote sensing analyses
Develop reproducible analytical workflows and production-quality code in R and related scientific computing environments
Conduct analyses supporting baseline development, leakage assessment, and permanence and durability approaches
Integrate and analyze large datasets from remote sensing platforms, field inventories, program operations, environmental datasets, and literature
Evaluate machine learning and AI technologies for scientific workflows and monitoring systems
Collaborate with scientists, program staff, and external partners to translate questions into rigorous analytical approaches
Document and communicate methods, assumptions, uncertainties, and findings to technical experts and organizational leadership
Contribute to innovation, efficiency, and scientific advancement across AFF’s strategic priorities

Requirements

What you’ll need

Advanced degree (M.S. or Ph.D. preferred) in forestry, ecology, natural resources, environmental science, statistics, geography, remote sensing, data science, or a related quantitative discipline
Minimum 3-6 years of professional or postdoctoral experience conducting advanced quantitative analyses in environmental, natural resource, climate, forestry, conservation, or related sectors
Strong proficiency in R, Python, or equivalent scientific computing environments
Strong foundation in statistical modeling, predictive analytics, uncertainty quantification, and applied data science
Experience working with large geospatial and remote sensing datasets
Expertise using GIS and spatial analysis tools
Experience developing and maintaining reproducible analytical workflows and well-documented codebases
Experience designing analytical approaches for complex scientific or operational questions
Strong technical writing skills
Ability to communicate complex analytical results to technical and non-technical audiences
Experience collaborating across multidisciplinary teams and managing multiple concurrent projects
Experience with cloud-based analytical environments such as AWS, Azure, or Google Earth Engine

Benefits

Comp & perks

Flexible work environment that respects your life outside of work
Comprehensive and competitive benefits package
Opportunity to work with colleagues, partners, and landowners on landscape-scale conservation impacts
Equal opportunity employer committed to a diverse work environment